A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines

Bibliographic Details
Main Author: Follen, Kenneth
Language:English
Published: The Ohio State University / OhioLINK 2010
Subjects:
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1281971505
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu12819715052021-08-03T06:00:31Z A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines Follen, Kenneth Engineering engine modeling control system dynamics The ability to develop physically consistent lumped-parameter models of compressible flow systems is a relevant and important aspect of designing control strategies for energy conversion systems. Such models can lead to a better system-level understanding of internal combustion engines, turbomachinery, fuel cell systems, Heat Ventilation and Air Conditioning (HVAC) and refrigeration systems. Furthermore, the models may be used for control systems development, optimization and validation leading to better performance and lower development costs. While improvements in computing technology have made it possible to use Computational Fluid Dynamic (CFD) simulations in a wide range of applications, 3-D and 1-D codes are not immediately useful in the design of control algorithms due to their complexity and high computational cost. However, the prediction of unsteady phenomena, particularly the characterization of pressure, temperature, velocity and flow rate at different locations of the system, is critical for several applications, ranging from design, and optimization, to control and diagnostics. The focus of the current research is to fill the void between the high-fidelity numerical simulation models originating from partial differential equations, and low-fidelity, control-oriented empirical models based on lumped parameter approximations such as are used today in industrial applications. The outcome of the research includes two novel approaches for modeling compressible fluid systems for dynamic systems applications. The two methodologies have been developed to retain a high level of fidelity while preserving the simple structure and limited computation time of lumped-parameter models. The two approaches have been validated against a combination of experimental, analytical and high fidelity simulation results. The results validate that the two modeling techniques enable accurate, computationally efficient models suitable for control systems applications. 2010-10-25 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1281971505 http://rave.ohiolink.edu/etdc/view?acc_num=osu1281971505 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Engineering
engine
modeling
control
system dynamics
spellingShingle Engineering
engine
modeling
control
system dynamics
Follen, Kenneth
A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines
author Follen, Kenneth
author_facet Follen, Kenneth
author_sort Follen, Kenneth
title A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines
title_short A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines
title_full A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines
title_fullStr A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines
title_full_unstemmed A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines
title_sort system dynamics modeling methodology for compressible fluid systems with applications to internal combustion engines
publisher The Ohio State University / OhioLINK
publishDate 2010
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1281971505
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